National Energy Rixin said at the performance briefing on August 17 that the company has carried out forward-looking resource layout in the direction of artificial intelligence and parallel computing, and has built multiple high-performance computing power bases composed of HPC and GPU clusters. Hardware resources not only support the training and reasoning of large-scale weather models and deep learning models, but also provide a solid foundation for intensive computation required for real-time transaction decisions, forming a significant computing power barrier.

National Energy Rixin said at the performance briefing on August 17 that the company has carried out forward-looking resource layout in the direction of artificial intelligence and parallel computing, and has built multiple high-performance computing power bases composed of HPC and GPU clusters. Hardware resources not only support the training and reasoning of large-scale weather models and deep learning models, but also provide a solid foundation for intensive computation required for real-time transaction decisions, forming a significant computing power barrier.